IEEE

AutoDDI: Drug–Drug Interaction Prediction With Automated Graph Neural Network

Abstract: Drug–drug interaction (DDI) has attracted widespread attention because when incompatible drugs are taken together, DDI will lead to adverse effects on the body, such as drug poisoning or ...
GitHub

Graph Neural Networks for the prediction of infinite dilution activity coefficients

This repository contains the training routines and the experiments presented in the paper Graph Neural Networks for the prediction of infinite dilution activity coefficients. @Article{D1DD00037C, ...
GitHub

Dynamic Deep Factor Graph

WARNING: by default all experiments assume a shared policy by all agents i.e. there is one neural network shared by all agents The envs/ subfolder contains environment wrapper implementations for the ...
IEEE

Collaborative Decision-Reinforced Self-Supervision for Attributed Graph Clustering

Abstract: Attributed graph clustering aims to partition nodes of a graph structure into different groups. Recent works usually use variational graph autoencoder (VGAE) to make the node representations ...